Quantization noise as a determinant for color thresholds in machine vision Научная публикация
Журнал |
Journal of the Optical Society of America A: Optics and Image Science, and Vision
ISSN: 1084-7529 |
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Вых. Данные | Год: 2018, Том: 35, Номер: 4, Страницы: B214 Страниц : DOI: 10.1364/josaa.35.00b214 | ||||||
Авторы |
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Организации |
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Реферат:
Color discrimination simulation is applied to study a uniformity of the color space of machine vision devices
whose operation is based on a three-component color model and which involve analog-to-digital conversion of
signals with a resolution of 8 bits per channel. Algorithms for finding the intervals of the dominant wavelength
and color saturation of a specimen are developed. The spectral dependence of intervals of color parameters calculated
using the digital images is found. It is shown that machine vision possesses the color discrimination
thresholds, which can be drawn in the CIE1931 xy chromaticity diagram in the form of equal-contrast ellipses
similar to the MacAdam ellipses. At resolution of 6 bits, the size of a reference MacAdam’s ellipse is a little less
than that of the machine vision ellipse’s sizes, and at resolution of 7 bits, it is a little more than that of the machine
vision ellipse’s sizes. A hypothesis is proposed that implies that the process of an encoding of the visual neural
signals may include procedures similar to an analog-to-digital conversion.
Библиографическая ссылка:
Palchikova I.G.
, Smirnov E.S.
, Palchikov E.I.
Quantization noise as a determinant for color thresholds in machine vision
Journal of the Optical Society of America A: Optics and Image Science, and Vision. 2018. V.35. N4. P.B214. DOI: 10.1364/josaa.35.00b214 WOS Scopus РИНЦ OpenAlex
Quantization noise as a determinant for color thresholds in machine vision
Journal of the Optical Society of America A: Optics and Image Science, and Vision. 2018. V.35. N4. P.B214. DOI: 10.1364/josaa.35.00b214 WOS Scopus РИНЦ OpenAlex
Даты:
Поступила в редакцию: | 2 окт. 2017 г. |
Принята к публикации: | 28 янв. 2018 г. |
Опубликована в печати: | 6 мар. 2018 г. |
Идентификаторы БД:
Web of science: | WOS:000428931500026 |
Scopus: | 2-s2.0-85044578628 |
РИНЦ: | 35486415 |
OpenAlex: | W2789798356 |